Entity Extraction
CommunityExtract entities from text with high accuracy.
Data & Analytics#knowledge-graph#information-extraction#text-processing#entity-extraction#ner#named-entity-recognition
Authornomad3
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Named entity extraction from unstructured text enables faster data enrichment, knowledge-graph population, and smarter search by turning raw text into structured entities.
Core Features & Use Cases
- Named-entity recognition: Identify and classify entities such as people, organizations, locations, and concepts from text.
- Knowledge graph enrichment: Link extracted entities to a knowledge graph for later retrieval and insights.
- Use case: Process customer conversations or documents to populate an entity index for CRM search and analytics.
Quick Start
Provide a short text sample and ask the skill to extract named entities.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Entity Extraction Download link: https://github.com/nomad3/servicetsunami-agents/archive/main.zip#entity-extraction Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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